Development of an Artificial Intelligence Model for the Identification and Prevention of Smoking-related Diseases.

Summary

The study is an interventional pilot study. The study is designed to be monocentric and it presents additional procedues.

Eligibility

High-risk screening subjects

Inclusion Criteria:

* Age \>= 50 years old
* Active smokers
* Former smokers (from no more than 15 years)
* Pack/year \>20
* Risk-prediction model from Prostate, Lung, Colorectal, and Ovarian study (PLCOm2012) \>1.2%
* Provision and signature of informed consent

Exclusion Criteria:

* Previous or concurrent neoplastic disease, excluding skin cancers
* Cognitive or other problems that could hinder the collection of informed consent
* Severe pulmonary or extra pulmonary disease
* Previous low-dose computed tomography (CT) scan in the past 12 months

Previous high-risk positive screening subjects

Inclusion Criteria:

* Subjects enrolled in previous lung cancer screening with the presence of lung nodules \>4 mm and candidate to additional computed tomography (CT)
* Signed informed consent

Exclusion Criteria:

\- None

Previous high-risk negative screening subjects

Inclusion Criteria:

* Subjects enrolled in previous lung cancer screening in this Institute with negative computed tomography (CT)
* Signed informed consent

Exclusion Criteria:

\- None

Lung Cancer patients

Inclusion Criteria:

* Patients with diagnosis or suspicious diagnosis of lung cancer candidate to surgical treatment or already submitted to it
* Patients with diagnosis of lung cancer treated with surgical resection
* Signed informed consent

Exclusion Criteria:

* computed tomography (CT) scans not available at San Raffaele Hospital
* Previous neoadjuvant treatment

Conditions4

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